AgEagle Aerial Systems (UAVS) Asset Writedowns and Impairment (2015 - 2023)
AgEagle Aerial Systems (UAVS) recorded Asset Writedowns and Impairment of $5.79 million in FY2025, up 96.8% from $2.94 million in FY2024.
Analysis
AgEagle Aerial Systems (UAVS) Asset Writedowns and Impairment (2015 - 2023) Analysis & Trends
Starting with FY2015, AgEagle Aerial Systems' Asset Writedowns and Impairment history includes 8 years.
- Annual Asset Writedowns and Impairment has a four-year compound annual growth rate of -17.3% (FY2021 to FY2025).
- Annual Asset Writedowns and Impairment has ranged from $2.94 million in FY2024 to $41.69 million in FY2022 over the past five years.
- Per Business Quant data, UAVS's Asset Writedowns and Impairment was $2.94 million in FY2024 (-81.3%), $15.78 million in FY2023 (-62.2%), $41.69 million in FY2022 (+237.3%) and $12.36 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 59.00 Mn | -44.15 Mn | 1.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 14.28 Mn |
| Sep 30, 2023 | 1.42 Mn |
| Mar 31, 2020 | 54,635.00 |
| Mar 31, 2019 | 60,920.00 |
| Dec 31, 2016 | 588,074.00 |
| Sep 30, 2016 | 800,000.00 |
| Jun 30, 2016 | 2.14 Mn |
| Mar 31, 2016 | 4.51 Mn |
| Dec 31, 2015 | 39.23 Mn |
| Sep 30, 2015 | -1.70 Mn |
| Jun 30, 2015 | -5.00 Mn |
| Mar 31, 2015 | 16.40 Mn |
API Access
AgEagle Aerial Systems Asset Writedowns and Impairment API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=UAVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "UAVS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();